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Computer vision

Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding of digital images and videos.

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pkaske
pkaske commented Dec 29, 2020

I figured out a way to get the (x,y,z) data points for each frame from one hand previously. but im not sure how to do that for the new holistic model that they released. I am trying to get the all landmark data points for both hands as well as parts of the chest and face. does anyone know how to extract the holistic landmark data/print it to a text file? or at least give me some directions as to h

good first issue type:research solution:holistic stat:awaiting googler
AnirudhDagar
AnirudhDagar commented Jan 24, 2022

Although the results look nice and ideal in all TensorFlow plots and are consistent across all frameworks, there is a small difference (more of a consistency issue). The result training loss/accuracy plots look like they are sampling on a lesser number of points. It looks more straight and smooth and less wiggly as compared to PyTorch or MXNet.

It can be clearly seen in chapter 6([CNN Lenet](ht

tensorflow-adapt-track good first issue
datasets
lhoestq
lhoestq commented Jun 28, 2021

As mentioned in huggingface/datasets#2552 it would be nice to improve the error message when a dataset fails to build because there are duplicate example keys.

The current one is

datasets.keyhash.DuplicatedKeysError: FAILURE TO GENERATE DATASET !
Found duplicate Key: 48
Keys should be unique and deterministic in nature

and we could have something

enhancement good first issue
vfdev-5
vfdev-5 commented Jun 11, 2022

Currently, there are following warnings when running tests:

test/test_models.py::test_quantized_classification_model[googlenet]
  /root/project/torchvision/models/googlenet.py:47: FutureWarning: The default weight initialization of GoogleNet will be changed in future releases of torchvision. If you wish to keep the old behavior (which leads to long initialization times due to scipy/scipy#11
label-studio
divjotbedi
divjotbedi commented Jun 8, 2022

Describe the bug
When exporting a brush annotation as a PNG, the output is not mapped by the background colors specified in (Settings > Labeling Interface). In addition, when exporting as a JSON, the background colors for the attributes are not specified anywhere, leaving the values that were selected in the interface as arbitrary and as not linked to any of the outputs.

To Reproduce

good first issue feature images segmentation
archwolf118
archwolf118 commented Feb 3, 2022

If there is a hot key (move the image from left to right) can get the feature when I was annotating the polygon.
The scroll of mouse can achieve the up and down direction of image, but if I need the move the image from left to right, I have to drag the bottom bar.
If there is a hotkey to drag the whole image or to move the image horizontal?
Thank you!

enhancement good first issue